Triple

T7892386
Position Surface form Disambiguated ID Type / Status
Subject Swat District E183266 entity
Predicate hasCity P316 FINISHED
Object Saidu Sharif E181671 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Saidu Sharif | Statement: [Swat District, hasCity, Saidu Sharif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saidu Sharif
Context triple: [Swat District, hasCity, Saidu Sharif]
  • A. Saidu Sharif chosen
    Saidu Sharif is a town in Pakistan’s Swat Valley that serves as an administrative and cultural center for the region.
  • B. Shamsuddin
    Shamsuddin is an honorific title of Islamic origin commonly borne by rulers and notable figures, particularly in medieval Muslim dynasties such as the Habshi dynasty.
  • C. Abdul Latif
    Abdul Latif is the given name of Shah Abdul Latif Bhittai, the revered 18th-century Sindhi Sufi poet and saint.
  • D. Najaf Ali Khan
    Najaf Ali Khan was a prominent historical figure whose legacy is reflected in the naming of the Najafi dynasty.
  • E. Haji Muhammad Mohsin
    Haji Muhammad Mohsin was a prominent 18th–19th century Bengali philanthropist and social reformer renowned for his extensive charitable endowments in education and public welfare.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39fef2e48190a6282c217c33c57a completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdfc1b05481908af081f54bb1914d completed March 31, 2026, 2:52 p.m.
Created at: March 30, 2026, 5 p.m.